Jianyong Yao
Papers
11
Total Citations
460
H-Index
7
About
Jianyong Yao is a leading researcher in nonlinear control theory and its application to robotic and hydraulic systems. His work masterfully bridges robust adaptive control, disturbance rejection, and data-driven learning, with a particular focus on achieving high-accuracy tracking in the presence of model uncertainties and external disturbances. Yao’s most influential contribution is the development of active disturbance rejection adaptive control for uncertain nonlinear systems, a seminal 2017 paper with 173 citations that provides a unified framework for handling both parametric uncertainties and unknown disturbances. He has also made significant advances in compensating for time-varying input delays in nonlinear systems (129 citations) and pioneered the integration of reinforcement learning with disturbance observers for intelligent control. His recent work on data-driven control of 6-DOF hydraulic manipulators (58 citations) and adaptive control with gravity and friction identification (30 citations) demonstrates his commitment to solving real-world challenges in heavy-duty robotics. Through over a decade of research, Yao has established himself as a key figure in the evolution from classical adaptive control to learning-based, disturbance-aware methodologies for complex mechanical systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Data-Driven Control of Hydraulic Manipulators by Reinforcement Learning58 citations · 2023
- 4
- 5
- 6
- 7
- 8
- 9
- 10